Artificial Intelligence in Established of Industry 4.0

Abstract

The purpose of scientific research is to present the features of digitization of business processes using artificial intelligence at enterprises as a foundation on which the gradual formation of Industry 4.0 is built and the search for reserves of socio-economic growth in the conditions of the development of digital ecosystem and digital entrepreneurship. Presentation of a number of positive and negative consequences of the influence of artificial intelligence on the operation of digital infrastructure, as well as to indicate possible approaches in the practical application of artificial intelligence based on the substantive characteristics of its construction. The results and forecasts of four waves of modern development of artificial intelligence are presented, including: increasing the profits of Internet companies, monetization of creative Internet applications; reducing the number of cases of non-repayment of loans, establishing objective diagnoses, court decisions, etc.; protection of phones and digital wallets; payment by face scan. It was determined that the expected high-quality product of the fourth wave of modern development of artificial intelligence will be computer intelligence that understands and changes the world, a direct economic benefit first of highly structured environments, and then of other spheres of human activity. The peculiarities of the application of artificial intelligence in the course of the formation of digital enterprises of Industry 4.0 are revealed. The possibilities and advantages of the application of technical capabilities on which the development of artificial intelligence technology is based are analyzed. Approaches to the practical use of artificial intelligence are indicated, including: the synthesis of a human likeness with an independent thinking platform; predictive analytics; methods of control, planning and dispatching; storage, processing and presentation of knowledge. Having conducted a thorough analysis in parts of the acceleration of deep digitalization of business processes with the help of artificial intelligence, authors determined the impact of digitalization process and the operation of digital platforms on the transformational changes of enterprises. It has been found that digitalization lowers the barriers to market entry for small businesses, which have significantly expanded their niche and limited the monopoly of large companies, and the development of digital platforms determines the so-called network effects, when a large number of platform users creates conditions for the emergence of even more consumers. The directions for the development of artificial intelligence technologies are proposed, among which are named: creation of tools for users that allow to simplify the configuration of AI components of systems and to perform some actions without the involvement of developers. A step-by-step algorithm for setting up AI models is defined, namely: definition of the goal; tool selection; configuration and training of the model; hypothesis testing and model optimization; analysis of results.

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